Karen Adolph (NYU)

Catherine Tamis-LeMonda (NYU)

Kasey Soska (Databrary/PLAY)

Jeff Spies (Databrary, 221b.io)

• Is there a reproducibility 'crisis' in science?
• Video as data and documentation
• Big data behavioral science
• The future of open social & behavioral science

• Open data
• Open materials
• Better, more widely shared procedural documentation
• Data interoperability and linkage

• Captures spatial & temporal structure of behavior
• Huge potential for secondary use

• Faces & voices, names
• Blurring, alteration diminishes value for secondary use
• Hard(er) to share
• Diversity of formats

• Securing permission to share
• Restricting access
• Institutional agreement
• Consistent format conversion

• R & R Markdown, acs, choroplethr packages

• Open data & materials
• Better, more widely shared procedural documentation

• Planning for linkage (e.g., geographic)
• Blurring disciplinary boundaries

• FAIR (Findable, Accesible, Interoperable, and Reusable) data (Wilkinson et al., 2016)
• Federal data sources with (where possible) APIs
• Data repositories

• Ask permission to share (especially for sensitive, identifiable data)
  • Use template language
  • (Gilmore & Nilsonne, 2017)
• Don't promise to destroy data (but GDPR?)
• Don't unduly restrict future reuses

This talk was produced on 2018-08-21 16:32:45 in RStudio 1.1.453 using R Markdown. The code and materials used to generate the slides may be found at https://github.com/gilmore-lab/2018-09-07-fprs/. Information about the R Session that produced the slides is as follows:

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